An efficient and effective case classification method based on slicing

One of the most important tasks that we have to face in real world applications is the task of classifying particular situations and /or events as belonging to a certain class. In order to solve the classification problem, accurate classifier systems or models must be built. Several computational in...

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Main Authors: Shiba, Omar A. A., Sulaiman, Md. Nasir, Mamat, Ali, Ahmad, Fatimah
Format: Article
Language:English
Published: Siam Technology College 2006
Online Access:http://psasir.upm.edu.my/id/eprint/48646/1/An%20efficient%20and%20effective%20case%20classification%20method%20based%20on%20slicing.pdf
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author Shiba, Omar A. A.
Sulaiman, Md. Nasir
Mamat, Ali
Ahmad, Fatimah
author_facet Shiba, Omar A. A.
Sulaiman, Md. Nasir
Mamat, Ali
Ahmad, Fatimah
author_sort Shiba, Omar A. A.
collection UPM
description One of the most important tasks that we have to face in real world applications is the task of classifying particular situations and /or events as belonging to a certain class. In order to solve the classification problem, accurate classifier systems or models must be built. Several computational intelligence methodologies have been applied to construct such a classifier from particular cases or data. This paper introduces a new classification method based on slicing techniques that was proposed for procedural programming languages. The paper also discusses two of common classification algorithms that are used either in data mining or in general AI. The algorithms are: Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5). The paper also studies the comparison between the proposed method and the two selected classification algorithms using several domains.
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spelling upm.eprints-486462016-10-10T04:29:10Z http://psasir.upm.edu.my/id/eprint/48646/ An efficient and effective case classification method based on slicing Shiba, Omar A. A. Sulaiman, Md. Nasir Mamat, Ali Ahmad, Fatimah One of the most important tasks that we have to face in real world applications is the task of classifying particular situations and /or events as belonging to a certain class. In order to solve the classification problem, accurate classifier systems or models must be built. Several computational intelligence methodologies have been applied to construct such a classifier from particular cases or data. This paper introduces a new classification method based on slicing techniques that was proposed for procedural programming languages. The paper also discusses two of common classification algorithms that are used either in data mining or in general AI. The algorithms are: Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5). The paper also studies the comparison between the proposed method and the two selected classification algorithms using several domains. Siam Technology College 2006 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48646/1/An%20efficient%20and%20effective%20case%20classification%20method%20based%20on%20slicing.pdf Shiba, Omar A. A. and Sulaiman, Md. Nasir and Mamat, Ali and Ahmad, Fatimah (2006) An efficient and effective case classification method based on slicing. International Journal of the Computer, the Internet and Management, 14 (2). pp. 15-23. ISSN 0858-7027 http://www.ijcim.th.org/past_editions/2006V14N2/v14n2.htm
spellingShingle Shiba, Omar A. A.
Sulaiman, Md. Nasir
Mamat, Ali
Ahmad, Fatimah
An efficient and effective case classification method based on slicing
title An efficient and effective case classification method based on slicing
title_full An efficient and effective case classification method based on slicing
title_fullStr An efficient and effective case classification method based on slicing
title_full_unstemmed An efficient and effective case classification method based on slicing
title_short An efficient and effective case classification method based on slicing
title_sort efficient and effective case classification method based on slicing
url http://psasir.upm.edu.my/id/eprint/48646/1/An%20efficient%20and%20effective%20case%20classification%20method%20based%20on%20slicing.pdf
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